code: def _single_compress(
      self, max_steps: int | None, max_epochs: int | None
  ):
      self._fusion_compress(max_steps, max_epochs)
  
imports: from __future__ import annotations
  import logging
  from typing import List, Dict, Union, overload
  import torch
  import torch.nn
  from torch import Tensor
  from nni.common.version import torch_version_is_2
  from ..base.compressor import Compressor, Quantizer
  from ..base.wrapper import ModuleWrapper
  from ..utils import Evaluator, _EVALUATOR_DOCSTRING
  from ..base.target_space import TargetType, QuantizationTargetSpace
label_desc: Use image node_id 13 for calling the DoReFaQuantizer obj's underlying member method code with example usage: obj._single_compress(max_steps, max_epochs) without return types